1Z0-1127-25 OCI Generative AI Service Practice Question
A company wants to use OCI Generative AI Agents for a question-answering system over their internal knowledge base stored in OCI Object Storage. The data consists of PDF and Word documents. What is the first step to make this data usable by the agent?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a knowledge base and associate it with the Object Storage bucket
A knowledge base must be created and linked to the data source (Object Storage bucket) so the agent can index and retrieve the content. Creating an agent first without a knowledge base would not work. The Embedding API is lower-level; the agent service abstracts this.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the Embedding API to generate embeddings for all documents
Why it's wrong here
While embeddings are used internally, the agent service manages this; creating embeddings manually is not necessary and not the first step.
- ✗
Create a dedicated AI cluster for inference
Why it's wrong here
A dedicated cluster is for hosting custom models; the agent service uses shared or managed infrastructure and does not require a dedicated cluster as a first step.
- ✗
Create an OCI Generative AI Agent
Why it's wrong here
The agent needs a knowledge base to fetch data; creating the agent first without a knowledge base is premature.
- ✓
Create a knowledge base and associate it with the Object Storage bucket
Why this is correct
The knowledge base indexes the documents from Object Storage, enabling the agent to retrieve relevant content for answering questions.
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